tf.raw_ops.RGBToHSV
Converts one or more images from RGB to HSV.
tf.raw_ops.RGBToHSV( images, name=None )
Outputs a tensor of the same shape as the images
tensor, containing the HSV value of the pixels. The output is only well defined if the value in images
are in [0,1]
.
output[..., 0]
contains hue, output[..., 1]
contains saturation, and output[..., 2]
contains value. All HSV values are in [0,1]
. A hue of 0 corresponds to pure red, hue 1/3 is pure green, and 2/3 is pure blue.
Usage Example:
blue_image = tf.stack([ tf.zeros([5,5]), tf.zeros([5,5]), tf.ones([5,5])], axis=-1) blue_hsv_image = tf.image.rgb_to_hsv(blue_image) blue_hsv_image[0,0].numpy() array([0.6666667, 1. , 1. ], dtype=float32)
Args | |
---|---|
images | A Tensor . Must be one of the following types: half , bfloat16 , float32 , float64 . 1-D or higher rank. RGB data to convert. Last dimension must be size 3. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as images . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/RGBToHSV